Forward Deployed Data and AI Tech Lead
Warszawa, Polska, 00-124Najważniejsze cechy oferty
Min. 5 lat doświadczenia
DevOps / Cloud: AWS, Azure, Docker, Kubernetes
Backend: Java / .NET / Node / Python
Model hybrydowy - część pracy zdalnie
Pełny etat
Description
Join our Applied AI Engineering team and help design and build solutions that create measurable business value for our clients. You will work across data engineering, AI/ML workflows and agentic AI solutions, often within complex and regulated environments. This is a hands-on technical leadership role where you will collaborate directly with client teams, rapidly prototype innovative solutions and shape the future of AI-powered transformation. EY.AI is an environment where AI agents are part of the team and everyday project delivery. You will use solutions tailored to specific business domains, helping analyse data, generate recommendations and design impactful solutions that enable faster decision-making and greater value creation. Your scope of duties Embed directly with client business teams to identify, frame and prioritise high-value data and AI opportunities. Design, prototype and demonstrate working solutions spanning data processing, data products, AI/ML workflows and agentic AI solutions using cloud-native technologies. Lead a pod of forward-deployed engineers, providing technical direction, reviewing work and removing delivery obstacles while remaining hands-on in development. Make pragmatic build, pivot or stop decisions based on business value and validated learning. Translate validated prototypes and requirements into scalable, production-ready delivery opportunities. Build trusted relationships with client stakeholders and bridge business and technical perspectives. Promote responsible AI and compliance-by-design principles from the earliest stages of solution development. Mentor and develop engineers while contributing to reusable assets, accelerators and engineering best practices.
What we offer
Opportunity to work at the forefront of Applied AI Engineering, delivering real business impact for leading organisations.
Exposure to cutting-edge technologies across data, AI/ML, agentic AI and cloud platforms.
Opportunity to lead high-performing engineering teams and influence technical strategy.
Professional and financial support in obtaining recognised qualifications and certificates.
EY Badges - global certification of your competencies and the opportunity to earn an MBA title from the prestigious Hult International School of Business.
Career Counselor - professional, one-to-one guidance on career building and development.
Psycho-educational platform - a package of free consultations with specialists in the broad field of mental health and personal development and access to educational activities.
Benefit programme offering private healthcare with additional preventive examinations, life insurance, tickets, team sports, language learning platform, sports cards and much more (available online and offline).
Convenient hybrid working model.
Our requirements
Bachelor’s degree in Computer Science, Engineering or a related field with approximately 8+ years of hands-on software, data or AI engineering experience, including technical or team leadership responsibilities.
Proven experience delivering data or AI solutions from prototype to real-world adoption.
Strong Python programming skills and solid software engineering fundamentals.
Experience across multiple areas including data processing and pipelines, AI/ML workflows, LLM and agentic AI frameworks, and Retrieval-Augmented Generation (RAG) solutions.
Hands-on experience with cloud engineering, preferably Microsoft Azure, as well as AWS and/or Google Cloud, including infrastructure-as-code practices.
Experience working directly with business stakeholders in consulting, product or forward-deployed environments.
Excellent communication skills with the ability to engage effectively with both business and technical audiences.
Ability to thrive in ambiguity, demonstrate strong business acumen and take ownership of outcomes.
Recruitment stages
Apply. If this is your first application, create a profile and upload your CV.
Let's talk. You will meet with our Talent Acquisition specialists and representatives of your future team.